| 11 - Cleaning & Transforming Flight Data with Pyspark | |||
| 12 - Loading Flight Data to SQLite Database | |||
| 13 - Analyzing Logistics Data with SparkSQL | |||
| 14 - Building Machine Learning Model for Predicting Restaurant Revenue with MLlib | |||
| 15 - Setting Up Databricks Workspace & Loading Sport Analytics Data | |||
| 16 - Analyzing Football Player Performance on Databricks | |||
| 17 - Extracting & Transforming Energy Consumption Data with Pyspark | |||
| 18 - Loading Energy Consumption Data to SQLite Database | |||
| 19 - Conclusion & Summary | |||
| 2 - Tools, IDE, and Datasets | |||
| 3 - Introduction to Big Data Analytics & ETL | |||
| 4 - Creating Spark DataFrame, Loading CSV File, and Converting Data Types | |||
| 5 - DataFrame Operations, Selecting Column, Filtering and Sorting Data with Pyspark | |||
| 6 - Cleaning Dataset, Handling Missing Values, and Removing Duplicates with Pyspark | |||
| 7 - Data Partitioning & Performance Optimization with Pyspark | |||
| 8 - Data Transformation & Data Aggregation with Pyspark | |||
| 10. Data Transformation & Data Aggregation with Pyspark.mp4 | 119.8 MB | ||
| 10. dataaggregation.ipynb.bin | 830.6 KB | ||
| 9 - Merging Datasets Using Join & Union Operations | |||
| 11. Merging Datasets Using Join & Union Operations.mp4 | 163 MB | ||
| 11. mergingdatasets.ipynb.bin | 831.2 KB | ||
| 9. Data Partitioning & Performance Optimization with Pyspark.mp4 | 89.8 MB | ||
| 9. datapartitioning.ipynb.bin | 831.8 KB | ||
| 8. Cleaning Dataset, Handling Missing Values, and Removing Duplicates with Pyspark.mp4 | 116.1 MB | ||
| 8. cleaningdataset.ipynb.bin | 11.6 KB | ||
| 7. DataFrame Operations, Selecting Column, Filtering and Sorting Data with Pyspark.mp4 | 167.8 MB | ||
| 7. dataframeoperation.ipynb.bin | 826.8 KB | ||
| 6. Creating Spark DataFrame, Loading CSV File, and Converting Data Types.mp4 | 115 MB | ||
| 6. loadingdata.ipynb.bin | 7.7 KB | ||
| 5. BigDataAnalyticsWorkflow.png | 1.1 MB | ||
| 5. Introduction to Big Data Analytics & ETL.mp4 | 119.6 MB | ||
| 4. Tools, IDE, and Datasets.mp4 | 97.8 MB | ||
| 21. Conclusion & Summary.mp4 | 36.4 MB | ||
| 20. Loading Energy Consumption Data to SQLite Database.mp4 | 132.4 MB | ||
| 19. Extracting & Transforming Energy Consumption Data with Pyspark.mp4 | 290.5 MB | ||
| 19. energyconsumptiondatapipelines.ipynb.bin | 14.1 KB | ||
| 18. Analyzing Football Player Performance on Databricks.mp4 | 181 MB | ||
| 17. Setting Up Databricks Workspace & Loading Sport Analytics Data.mp4 | 99.6 MB | ||
| 17. sportanalytics.ipynb.bin | 21.1 KB | ||
| 16. Building Machine Learning Model for Predicting Restaurant Revenue with MLlib.mp4 | 244.3 MB | ||
| 16. machinelearningmodel.ipynb.bin | 828.5 KB | ||
| 15. Analyzing Logistics Data with SparkSQL.mp4 | 259.4 MB | ||
| 15. analyzinglogisticsdata.ipynb.bin | 838.3 KB | ||
| 14. Loading Flight Data to SQLite Database.mp4 | 113.5 MB | ||
| 13. Cleaning & Transforming Flight Data with Pyspark.mp4 | 312.9 MB | ||
| 13. etlpipeline.ipynb.bin | 840.8 KB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| _FlightAnalyticsData | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 151 MB | ||
| 10 - Extracting Flight Data From Multiple Sources with Pyspark | |||
| 12. Extracting Flight Data From Multiple Sources with Pyspark.mp4 | 157 MB | ||
| FlightAnalyticsData | |||
| __MACOSX | |||
| FlightAnalyticsData | |||
| _aircraft_specifications.json | 409.6 B | ||
| _airport_information.csv | 409.6 B | ||
| _flight_records.csv | 409.6 B | ||
| aircraft_specifications.json | 3.3 KB | ||
| airport_information.csv | 1.8 KB | ||
| flight_records.csv | 2.2 KB | ||
| 2. Big Data Analytics and ETL.pptx | 2.3 MB | ||
| 2. Table of Contents.mp4 | 24.8 MB | ||
| 3. Whom This Course is Intended for.mp4 | 48.8 MB |
Big Data Analytics & Designing ETL Pipelines with Pyspark
https://WebToolTip.com
Published 8/2026
Created by Christ Raharja
MP4 | Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 6m ) | Size: 3 GB
Learn big data analytics, DataFrame Operation, data transformation, ETL pipelines, SparkSQL, Pyspark, Databricks, SQLite
What you'll learn
⚡ Learn the basic fundamentals of big data analytics and ETL pipelines
⚡ Learn how to create Spark DataFrame, load CSV file, and convert data types using Pyspark
⚡ Learn about DataFrame operations, select columns, filter and sort data using Pyspark
⚡ Learn how to clean data, handle missing values, and remove duplicates using Pyspark
⚡ Learn about data partitioning and performance optimization
⚡ Learn about data transformation and data aggregation
⚡ Learn how to merge datasets using Join and Union operations
⚡ Learn how to build and design ETL pipelines for flight analytics project
⚡ Learn how to extract flight data from multiple sources using Pyspark
⚡ Learn how to clean and transform flight data using Pyspark
⚡ Learn how to load flight data to SQLite database
⚡ Learn how to analyze logistics data using SparkSQL
⚡ Learn how to build machine learning for predicting restaurant revenue using MLlib
⚡ Learn how to set up Databricks workspace and load sport analytics data
⚡ Learn how to analyze football player performance on Databricks
⚡ Learn how to build and design ETL pipelines for energy consumption analytics project
⚡ Learn how to extract and transform energy consumption data using Pyspark
⚡ Learn how to load energy consumption data to SQLite database
Requirements
❗ No previous experience in data engineering is required
❗ Basic knowledge in Python and Pyspark
| torrent name | size | uploader | age | seed | leech |
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| 2.4 GB | freecoursewb | 3 months | 14 | 20 | |
| 2.6 GB | freecoursewb | 4 months | 0 | 0 | |
| 2 GB | freecoursewb | 8 months | 14 | 3 | |
| 1.6 GB | freecoursewb | 8 months | 17 | 4 | |
| 328.8 MB | freecoursewb | 10 months | 8 | 1 |
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